{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import sys\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scanpy.api as sc\n",
    "from anndata import AnnData\n",
    "\n",
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib as mpl\n",
    "\n",
    "sys.path.append(\"../\")\n",
    "from args_parser import get_parser\n",
    "from model.mars import MARS\n",
    "from model.experiment_dataset import ExperimentDataset\n",
    "from data.benchmarks import BenchmarkData\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setting parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading default parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "params, unknown = get_parser().parse_known_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Namespace(cuda=False, epochs=30, epochs_pretrain=25, learning_rate=0.001, lr_scheduler_gamma=0.5, lr_scheduler_step=20, manual_seed=3, model_file='trained_models/source.pt', pretrain=True, pretrain_batch=None)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking if CUDA device is available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "if torch.cuda.is_available() and not params.cuda:\n",
    "        print(\"WARNING: You have a CUDA device, so you should probably run with --cuda\")\n",
    "device = 'cuda:0' if torch.cuda.is_available() and params.cuda else 'cpu'\n",
    "params.device = device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_seed(opt):\n",
    "    torch.cuda.cudnn_enabled = False\n",
    "    np.random.seed(opt.manual_seed)\n",
    "    torch.manual_seed(opt.manual_seed)\n",
    "    torch.cuda.manual_seed(opt.manual_seed)\n",
    "init_seed(params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading [Pollen](https://www.nature.com/articles/nbt.2967) and [Kolodziejczyk](https://www.sciencedirect.com/science/article/pii/S193459091500418X?via%3Dihub)  datasets. Datasets are already concatenated and only the subset of genes that appears in both datasets is retained"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 953 × 8138 \n",
       "    obs: 'experiment', 'ground_truth'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata = sc.read_h5ad('../benchmark_datasets/kolod_pollen_bench.h5ad')\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.normalize_per_cell(adata, counts_per_cell_after=1e4)\n",
    "sc.pp.scale(adata, max_value=10, zero_center=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pp.neighbors(adata, n_neighbors=30, use_rep='X')\n",
    "sc.pp.pca(adata, n_comps=50)\n",
    "sc.tl.tsne(adata)\n",
    "sc.pl.tsne(adata, color=['experiment','ground_truth'],size=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['kolod', 'pollen']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets = list(set(adata.obs['experiment']))\n",
    "datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train and evaluate MARS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use Kolodziejczyk dataset as annotated, and Pollen as unannotated "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prepare annotated, unannotated and pretrain datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "kolod = adata[adata.obs['experiment'] == 'kolod',:]\n",
    "pollen = adata[adata.obs['experiment'] == 'pollen',:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== Dataset: Found 704 items \n",
      "== Dataset: Found 3 classes\n"
     ]
    }
   ],
   "source": [
    "y_kolod = np.array(kolod.obs['ground_truth'], dtype=np.int64)\n",
    "annotated = ExperimentDataset(kolod.X.toarray(), kolod.obs_names, kolod.var_names, 'kolod', y_kolod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== Dataset: Found 249 items \n",
      "== Dataset: Found 11 classes\n"
     ]
    }
   ],
   "source": [
    "y_pollen = np.array(pollen.obs['ground_truth'], dtype=np.int64) # ground truth annotations will be only used for evaluation\n",
    "unannnotated = ExperimentDataset(pollen.X.toarray(), pollen.obs_names, pollen.var_names, 'pollen', y_pollen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "pretrain_data = ExperimentDataset(pollen.X.toarray(), pollen.obs_names, pollen.var_names, 'pollen')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_clusters = len(np.unique(unannnotated.y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialize MARS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars = MARS(n_clusters, params, [annotated], unannnotated, pretrain_data, hid_dim_1=1000, hid_dim_2=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run MARS in evaluation mode. Ground truth annotations will be used to evaluate MARS performance and scores will be returned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pretraining..\n",
      "\n",
      "=== Epoch: 30 ===\n",
      "Train acc: 1.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "... storing 'MARS_labels' as categorical\n"
     ]
    }
   ],
   "source": [
    "# return both annotated and unannotated datasets with save_all_embeddings\n",
    "adata, landmarks, scores = mars.train(evaluation_mode=True, save_all_embeddings=True) # evaluation mode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check MARS performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'accuracy': 0.9236947791164659,\n",
       " 'adj_mi': 0.9271767769183966,\n",
       " 'adj_rand': 0.9325569982091786,\n",
       " 'f1_score': 0.8820128102241789,\n",
       " 'nmi': 0.9389804034910628,\n",
       " 'precision': 0.8937590187590186,\n",
       " 'recall': 0.8912337662337663}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualize in MARS embedding space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 953 × 8138 \n",
       "    obs: 'MARS_labels', 'experiment', 'truth_labels'\n",
       "    obsm: 'MARS_embedding'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create anndata object using MARS embeddings as X\n",
    "adata_mars = AnnData(adata.obsm['MARS_embedding'])\n",
    "adata_mars.obs['MARS_labels'] = pd.Categorical(adata.obs['MARS_labels'])\n",
    "adata_mars.obs['ground_truth'] = pd.Categorical(adata.obs['truth_labels'])\n",
    "adata_mars.obs['experiment'] = pd.Categorical(adata.obs['experiment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(953, 100)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(adata_mars.X) # 100-dimensional MARS embeddings space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fgD8AK4BfufvyY46wGxUjIiIRCFY1uQmoI7naVR1wUwirab3i7qe6+ynuPsfdvxxCuCIikiXSmF8edvcT3H26u38thFABLe0rIhKZIDGklBxERER6yqb8opERERERERGJhIoRERERERGJhIoRERERERGJhIoRERERERGJhIoRERERERGJhIoREZFhyMziZvaimWmPERERSZmZ3W5m281sWZj9qhgRERmePkFyYyoREZEw3AFcGXan2mdERCQiX/j6o9cBC4BqoB649cu3XJ7yuvBmVgW8Ffga8KlU+xMRkeySjvzi7k+ZWU3q0R1OIyMiIhEIEsVCYCpgwePCoD1V3wY+A3SF0JeIiGSRNOeX0KkYERGJxgKgqEdbUdB+zMzsKmC7uy9NpR8REclaackv6aJiREQkGtWDbB+oc4G3m9l64B7gYjP7RYp9iohI9khXfkkLFSMiItGoH2T7gLj759y9yt1rgGuAP7r79an0KSIiWSUt+SVdVIyIiETjVqC5R1tz0C4iInKs0pJfzOxu4FlgppltNLMbU+nvABUjIiIRCFY1uQmoAzx4vCmM1bQOcPcn3f2qsPoTEZHMl6784u7XuvtEd88NRuB/EkK4mLuH0c9hamtrfcmSJaH3KyKSbcxsqbvXRh3HcKH8IiIyvHKLRkZERERERCQS2vQwyzz3YgOr17dQXBhj87Z2JozN4x2XjyY3R3WliIgcm70N7axas49Y3Ghp6cQdTpldQUVZftShicgwp2Iki6xbsZ0/Ptt6WFtjUwuPPbOHt1w4OqKoREQkmyW6nBde3klr2+F7ZL7wyi4uPHci8ZhFFJmIjAS6nJ4ltjy/nN9e84Ve31v8chObt7cNcUQiIpLturqcxUt3HFGIALS1dfHayj0RRCUiI4mKkSzQ2pbgt996BF+zAlqTK7W1d8LmPbB6i/FSnXHn73bQ1n5kMhEREenL8lV72buvvc/3N2xuZsu2niuEioiER8VIFvjpfdvYWzUbgPzvfJHcFS+wvxXqdxnF+c7kSqdhfxf7mxMRRyoimcDM1pvZq2b2kplp6Snp1Rv1jWzY1HRYm/UyI6uhsWOIIhKRTGVmU8xskZm9ZmbLzewTYfWte0ayQGNTJ13Hn0TbZ7+B7d1NS/WJWCfMmuiUFyePKS+NU1mmf50ictBF7r4z6iAkc/U2ItLbav8TxxcOQTQikuE6gX929xfMrARYamaPuftrqXasb69Z4My5pTyzpIGu0RPZkTuRdfVGlxsVRU55cTJzjB+Th/V2SUtEMtaip5ZfBywAqoF64NaLzp8d2qaHIkcz47hStu1ooaufGb6FhfqqIJJtws4v7r4F2BI8bzSzFcBkIOViRNO0ssAFZ5bzqRsns6Ehl9e3JwsRgD3NRm6uMWlcHheeWR5xlCIyGEGiWAhMBSx4XBi0p8qBR81sqZn9bQj9yTA0qjiXKy+u4ripo3p9v7AwzuxZ5Vo6XiTLpDm/YGY1wKnA4jD60+WOLFFYEOc/PjmeZ15qZuFv9tHS5kybEOPvPzCeUUXxqMMTkcFbABT1aCsK2lMdHTnP3TeZ2TjgMTNb6e5PpdinDFOzZpQzbkwBK9fsY29DB2Ywe2Y51VW9FykikvHSll/MbBTwa+Bmd29Ipa8DVIxkkeLCGFecPYoz5xSyY0+C46pytf57FmvfupNEUwsFx1Vpit3IVD3I9gFz903B43YzewCYD6gYkT5VVhRwVm0+DY0dFBXGycvTRa5s1dHRSUNjCyWjCsnL09e8ESot+cXMckkWIne6+/2p9NWd/ivNQuUlccpLlCiyWfOKdey46yFwp3BmDeWXnEXepHFRhyVDq57k0Hlv7cfMzIqBWDCntxi4HPhyKn3KyBCLGeVleVGHISno7Eyw5MV1tLZ2kJsb54TjJzJmdAmxmKbajTCh5xdLXjX9CbDC3f/jWPvpjYoRkSHkXc6uXz9K06urDy5b07JqPS2r1hMrLWb8De8gb/zoiKOUIXIryTm93YfSm4P2VIwHHghG23KAu9z9kRT7FJEMt31HAytXbyKRSK5I0NGRYPmKjQDMmD6BqsnKLSNIOvLLucAHgVfN7KUD53H3h1PoE1AxIjIkmlespeHpF4iNKqLltbW9HtPV0MTOex5m0ic+OMTRSRQuOn/2XYueWg4hr6bl7uuAualHKCKZrq29g9VrtpBIdNHc0n6wEOlpzdqtVFYUU1RUMMQRShTSkV/c/RmSN8OHTsWISJp5IsGOe34PfSSJ7jp27KHhLy9Ses6pQxCZRC1IDFrKV0SOybo3trFzVyOQnGZ3NMte28j82uOHIizJANmUXzSJUCTdzKDr0E5iVpDf4/3DX7Zv2j4EQYmISLZraTm0cWVX1+E7VvZcF6Wpue2IY0QygYoRkTRI7G+mecU6EvubsViM2KhD0za9te3wg7vlBsvPY9QZJw9RlCIikk3cnV2799PY2AJARcXAl1+eMnl0v6MnIlHQNC2RkCWaW9jy33eTaGwiNqqQ3NHleHtHv5+LFRdS9S8fxnL0v6WIiBxp9ZotbN66B4DRo0fR2NDS57He7ULX7BOrGDe2LN3hiRwTfesRCYEfWBlr5Tr2PvosicYmALr2t9C2v+9kgdnBjFFy1ikqRERE5DDuTntHJ6tWb2H3nv0H23ft2n+UTx1SWJjHmDGl6QpPJGX65iOSopbX69lxz8Pg4J0JSCQOvWkcNg3rCN0vXWkur4iIBDo7E7z8ah0NjS0UF+XT1NzW/4d64V1OTBvrSgbTPSMiKdr31BK8tR1vaz+sECm/7BywXv4Xy+39GkDB9JQ33hYBwMzKzew+M1tpZivM7OyoYxKRwdm5q5GG4N6Q7oVIaWkhY0YP/F6RstLC0GOTkcfMCszseTN72cyWm9mXwupbIyMiKYrl97JjsRl7//gcdPWynG9HJ+TlYjHDW5MroeRNHkdBzaQ0RyojyHeAR9z9PWaWx+EbX4lIFigqyu+1vbGh5agD7vn5ObS1dR58XTN1XMiRyQjVBlzs7vvNLBd4xsx+7+7PpdqxihGRFJWcM4+WFesOb3SHRN/pIreilPEffTd7Hn6artY2Kq44L81RSiZa8cSfrqPHplQnXnJBSuvCm1kZcD7wIQB3bwfaj/YZEck8pSWF5OTE6Ow8/KJWfxN6Tz6pmn0NzezavZ9xY0v7LGpkeAs7v3jy5tgDNyrlBj+hzC9XMSKSosJpVZRffi77nvrrwZGO7mKlxZTMPwXc6Wpqoau9g7LzTydeWMCYd18WQcSSCYJEsZBDoxZTgYUrnvgTKRYk04AdwE/NbC6wFPiEuzelFLCIDLlT505j+YoNNDf3fj1hyuRK4jlxILnnSGXFKEpKCikpKaRq8uihDFUySLryi5nFSeaU44H/dvfFKQeLihGRUJSdfzpl559O86o3aH1jI/tfWIE3txIbVcSEv30vueVayUSOsIAjp08VBe2pFCM5wGnAx9x9sZl9B7gFuC2FPkUkAqOKCzizdgbNLW3s3NXI9u37aNzfCsDxx41nStWYiCOUDJWW/OLuCWCemZUDD5jZHHdfduxhJqkYEQlR0cxpFM2cRuWVbyLR3EqsIB/TJlPSu75WLEh1JYONwMZuV6zuI1mMiEiWKirMp7oqn+qqMXQmEhhGPK41iKRP6covALj7XjNbBFwJpFyM6L9kkTSJFxWoEJGjqR9k+4C4+1Zgg5nNDJouAV5LpU8RyRw58bgKEelP6PnFzMYGIyKYWSFwGbDyWPvrTv81i4hE41aguUdbc9Ceqo8Bd5rZK8A8kkPzIiIyMqQjv0wEFgV55a/AY+7+YAr9HaRiREQkAsFNhDcBdSRXJKkDbkp1NS0Ad3/J3Wvd/RR3f4e770m1TxERyQ7pyC/u/oq7nxrklTnu/uWQwtU9IyIiUQkSQ8rFh4iISHfZlF80MiIiIiIiIpFQMSIiIiIiIpFQMSIiIiIiIpFQMSIiIiIiIpFQMSIiIiIiIpFQMSIiMoyY2Uwze6nbT4OZ3Rx1XCIikv3MLG5mL5pZKHuMgJb2FREZVtx9FcmNDjGzOLAJeCDSoEREZLj4BLACKA2rQxUjIiIRefyWr11Hcnf0aqAeuPXSr38+zHXhLwHWuntdiH2KiEiGS0d+MbMq4K3A14BPpRxkQNO0REQiECSKhcBUwILHhUF7WK4B7g6xPxERyXBpzC/fBj4DdKXYz2FUjIiIRGMBUNSjrShoT5mZ5QFvB+4Noz8REckaoecXM7sK2O7uS1MJrDf9FiNmVmpm03tpPyXsYERERpDqQbYP1puBF9x9W0j9hUq5RUQkbdKRX84F3m5m64F7gIvN7Bcp9HfQUYsRM3sfsBL4tZktN7Mzur19RxgBiIiMUPWDbB+sa8nQKVrKLSIiaRV6fnH3z7l7lbvXkJwC/Ed3v/5Y++uuv5GRW4HT3X0e8GHgf8zsncF7FkYAIiIj1K1Ac4+25qA9JWZWDFwG3J9qX2mi3CIikj5pyy/p0F8xEnf3LQDu/jxwEfCvZvZxwNMdnIjIcBWsanITUEfy72kdcFMYq2m5e5O7j3b3fan2lSbKLSIiaZLO/ALg7k+6+1Vh9AVg7n3/3TezvwAfdPe13dpKgN8A57l7fm+fq62t9SVLloQVo4hI1jKzpe5eG3UcmeRYcwsov4iIwPDKLf3tM/L39Bgyd/dGM7sSeF/aohIRkeFMuUVERIB+pmm5+8vAHDP7tJld0a29w93vTHt0IiIy7Ci3iIjIAf2tpvV94JPAaOArZnbbkEQlIiLDlnKLiIgc0N80rfOBue6eMLMi4GngK+kPS0REhjHlFhERAfpfTavd3RMA7t6MllwUEZHUKbeIiAjQ/8jILDN7JXhuwPTgtQHu7topV0Qkw5jZJ4GPklzS8VXgw+7eGm1Uh1FuERHJMsHu641AAugMazWv/oqRE8M4iYiIDA0zmwx8HDjJ3VvM7Fckd8u9I9LADqfcIiKSnS5y951hdnjUYsTd63prN7PzgGuBfwwzGBGRkeQ/88+7DlgAVAP1wK2fbHsmjE2pcoBCM+sAioDNIfQZGuUWEZH0SmN+CV1/94wcZGanmtk3gyGarwAr0xaViMgwFySKhcBUktOTpgILg/Zj5u6bgG+RTD5bgH3u/miK4aaNcouISLjSlV9ITv191MyWmtnfptjXQUcdGTGzE0hepboW2An8kuSu7ReFFYCIyAi1gOSoRXdFQfsxX70yswrgamAasBe418yud/dfHGufYVNuERFJq7TkF+A8d99kZuOAx8xspbs/lUJ/QP8jIyuBi4Gr3P08d/8vkjetiIhIaqoH2T5QlwJvuPsOd+8A7gfOSbHPsCm3iIikT1rySzDyjrtvBx4A5qfS3wH9FSPvIjnMv8jMFprZJWgJRhGRMNQPsn0w/Z5lZkVmZsAlwIoU+wybcouISPqEnl/MrNjMSg48By4Hlh1rf90dtRhx99+4+zXALGARcDMwzsz+n5ldHkYAIiIj1K1Ac4+25qD9mLn7YuA+4AWSy/rGgB+l0mfYlFtERNIqHfllPPCMmb0MPA885O6PpNDfQQO6gd3dm9z9Lnd/G1AFvAh8NowARERGomBVk5uAOpI3BdYBN4Wx2om7f9HdZ7n7HHf/oLu3pdpnOii3iIiELx35xd3Xufvc4Ge2u38tpHAxd+/7TbPKfgLb3Vt7bW2tL1myJMXQRESyn5ktDWtjqOHiWHMLKL+IiMDwyi39bXq4E9gIdAavu8/pdeC4dAQlIiLDmnKLiIgA/Rcj3wUuAv4M3A0840cbShEREemfcouIiAD938B+MzAPuBf4IPCimX3DzKYNRXAiIjL8KLeIiMgB/d7A7kmLgM8APwA+THIdexERkWOi3CIiItD/DuzFJHfyfT8wluTmWae7e6rr4IuIyAil3CIiIgf0d8/IdmANcE/w6ECtmdUCuPv96Q1PREQGy8w+QXJZRwMWuvu3Iw6pJ+UWEZEsY2blwI+BOST/bn/E3Z9Ntd/+ipFfBY8nBD9waNUTJ3k1S0REMoSZzSFZiMwH2oFHzOxBd3892sgOo9wiIpJ9vgM84u7vMbM8oCiMTvsrRpaRTAzdk8QOkiufvBFGACIiI9Vbb954HbAAqAbqgVuK7N8uAAAcy0lEQVQf+nZVqpsenggsdvdmADP7E/Au4Bsp9hsm5RYRkTQKO7+YWRlwPvAhAHdvJ3nBK2X93cA+CigJHg88rwV+b2bXhBGAiMhIFCSKhcBUkl/KpwILg/ZULAPeZGajzawIeAswJcU+w6bcIiKSJmnKL9NIXjT6qZm9aGY/Du7/S9lRR0bc/Uu9tQe75z5Ocr6viIgM3gKOHOIuCtqP+eqVu68ws38HHgWagJeAxLH2lw7KLSIiaZWO/JIDnAZ8zN0Xm9l3gFuA2445ykC/S/v2xt13c/iOuSIiMjjVg2wfMHf/ibuf7u7nA3uA1an2ORSUW0REQpGO/LIR2Ojui4PX95EsTlJ2TMWImV1EMsGJiMix6WsZ25SXtzWzccFjNcn7RVK9D2VIKLeIiIQi9Pzi7luBDWY2M2i6BHjtWPvrrr99Rl4leWNhd5XAZuBvwghARGSEupXknN7uQ+nNQXuqfm1mo4EO4B/dfW8IfYZGuUVEJK3SlV8+BtwZrKS1juRmtSnrbzWtq3q8dmCXuzeFcXIRkZHqoW9X3fXWmzdC+Ktp4e5vSrWPNFNuERFJk3TlF3d/ieRiI6Ey954Xp1JXW1vrS5YsCb1fEZFsY2ZL3T30P94jlfKLiMjwyi3HdM+IiIiIiIhIqlSMiIiIiIhIJFSMiIiIiIhIJFSMiIiIiIhIJFSMiIiIiIhIJFSMiIgMI2Z2u5ltN7Nl3doqzewxM1sTPFZEGaOIiGQXM5tpZi91+2kws5vD6FvFiIjI8HIHcGWPtluAJ9x9BvBE8FpERGRA3H2Vu89z93nA6SQ3UXwgjL772/RQRETSZMH366+jx6ZUt/5DdaqbUj1lZjU9mq8GLgye/wx4EvhsKucREZHMlY780s0lwFp3rwujM42MiIhEIEgUC4GpgAWPC4P2sI139y3B863A+DScQ0REMsAQ5JdrgLtD6kvFiIhIRBYART3aioL2tHF3Bzyd5xARkUilLb+YWR7wduDeVPs6QMWIiEg0qgfZnoptZjYRIHjcnoZziIhIZkhnfnkz8IK7bwuhL0DFiIhIVOoH2Z6K3wE3BM9vAH6bhnOIiEhmSGd+uZYQp2iBihERkajcSnI1ku6ag/ZjZmZ3A88CM81so5ndCHwduMzM1gCXBq9FRGR4Sld+KQYuA+5PpZ+eVIyIiEQgWNXkJqCO5D0cdcBNIaymda27T3T3XHevcvefuPsud7/E3We4+6XuvjuEX0FERDJQGvNLk7uPdvd9IYR5kCXvZQxXbW2tL1myJPR+RUSyjZktdffaqOMYLpRfRESGV27RyIiIiIiIiERCxYiIiIiIiERCxYiIiIiIiERCxYiIiIiIiERCxYiIiIiIiERCxYiISA/uTlciwf5du+lobY06nEExs9vNbLuZLevW9l4zW25mXWY2LFZfERHJRu7O5m1tbNzSFnUog2ZmnwxyyTIzu9vMCsLoNyeMTkREsllXIsHezVuJ5+TgOFteW3XwvVg8Ts0Zp5FfXBRhhINyB/A94Ofd2pYB7wJ+GEVAIiIj1dr6Fnbu7mDalHx++dAOGvd3HXzvgjPLOPf0sgijGzgzmwx8HDjJ3VvM7FfANSRzTkpUjIjIiLdlxWoatm3v9b2uRIKmXbvTUow8/PjG64AFQDVQD9z6lkurUt2U6ikzq+nRtgLAzFLpWkREBmFdfQu/fHAHADGDrh5b+61Z38I5p5Wm5W9zOvILybqh0Mw6gCJgc4r9AZqmJSJC6/79R31/25q1bF/7RqjnDBLFQmAqYMHjwqBdRESy3M49HQef9yxEADZva+eHd22hrb3ryDdTkI784u6bgG+RLGy2APvc/dEQwlUxIiIjm7tDL0mip931G8I+9QKSV5a6KwraRUQk6/WfXHbv62T9xtDvTQw9v5hZBXA1MA2YBBSb2fXHHGE3KkZEZETbs3Ez7c3N/R6Xkx/KfXrdVQ+yXUREskRzS4JFz+4b0LFjK3PDPn068sulwBvuvsPdO4D7gXNS6O8gFSMiMqJ1dXb2e0xRRTnTzjg17FPXD7JdRESyRGenk+hn9lVxYYx3v3kMleWhFyPpyC/1wFlmVmTJm1wuAVak0N9BKkZEZESrmDKZUWNHE8/tez2PismTiOeGnixuBXoOyTQH7cfMzO4GngVmmtlGM7vRzN5pZhuBs4GHzOwPqZxDRESOrrQkh0vPLae8tO/cMmFsHjOnpWWlxtDzi7svBu4DXgBeJVlD/OhY++tOxYiIjGjxnBymnDKHSbNPhG4rmsRykgkkFo9TUDIq9PMGq5rcBNSRnFhcB9wUwmpa17r7RHfPdfcqd/+Juz8QPM939/HufkUIv4KIiBzF/Lml3PT+CYypOFSQFBccyjPVk0Of/gukNb980d1nufscd/+gu4eyWYq5D+DOzUGqra31JUuWhN6viEg6tbe0kGjvoLCslM72Dpr37KGgpIS8osJj7tPMlrq7NhoMifKLiGSb9o4utu5oZ2xlHoUFMV6vayEeg2lTlFtA+4yIRK6lpZ3lKzeS6Eww4/iJlJYUkpMTjzqsESmvsBAKk8khJy+X0vHjIo5IROTYuDsPPrqC1Wt3cspJEzn3zBoKCnKIab+hIZeXG6N60qFRkOOnHnsRMhypGMkSe9dt4sXv3UtZzSTm/eO7icX1ZTXbtbV3sGr1Znbv2c+BAcpXltXhDhPGl1FaUsS4saXkHuVeBhGRVHR0dvGd+1ayaWcLn3rfLKaMK446JAnBomfWsuSljTTuT86iefq5N3j6uTcYO7qY0+ZOprqqnCmTyiOOUiRJ33IyVFNLF/c82oAZzKn/I8/e8l26OpKr/mxd8hpnfPoDtOzcx5SLTteuyllq3Rvb2bX78M32DhQlW7ftY+u2fWzYtIuzzpgRQXQiMlzd8ft1PLt8B+eePJZv3b2C5euTy4/+9OG1LPnRlaze2MgZs0Yztjw989klveo37mXRM2t7fW/Hrib+8MfVmMHf3XAWkyaUDnF0IkdSMZKhfnj/Xp74azOTXvsj+/50+GIFq375OKt++TgAp9z0Di753qejCFFS1Li/pd9jWlracXcVnCISikUvbuPGf38OgB8/ePgX1sbmTmZe/yAAk8cU8tLtb6GyNH/IY5TU7NrT1O8x7vDa6m0qRiQjqBjJUPuakotTl21dddTj1j+2eCjCkTTIy8uhqan/hSheX7eVeCxGR0eCqdVjKCjIG4LoRGQ42rF3YDs9b9rZwvL1+3jTKbpvKtvk5Q5sGvcLL29i/JgS1qzbyawZYzlp5vg0RybSOy3tm6E+/LYyplflUlJ69C+eJ11/5RBFJGEbW1kyoOM2btpN3YadbN66h9dWbkpzVJLtzOx2M9tuZsu6tX3TzFaa2Stm9oCZabL4CPWuN03hg1dMY8rYo+9tMH3SKE49vmKIopIwzTx+HDnxQ1/v+hpY39/Uzr2/e4WXlm3mV795hV27+x9RkZHNzD5hZsvMbLmZ3RxWvypGMlTNxFy+++nxXPup8/s85ux/u4mzb7txCKOSMOXlD34Tvc7ORBoikWHmDqDnVYrHgDnufgqwGvjcUAclmSEnJ8YdnzubV3/2VkYV9j45YnrVKF7+6VsYVRT6Rp8yBHJyYuTkHPp6N5CRki53Wts60xmWZDkzm0Ny75L5wFzgKjM7Poy+NU0rw53wrotYNGE0zVt3HdZeOWsqZ/zzdRFFJWEYM7qEqsmV7NvXTHlZMRs27er3M6NHh7v5XkNjO3Ubm/AuZ19jB8WFOSTcaW9LMGN6KfF4jJ27WhkzuoDRFZo7HrYtv3n0OmABUA3UA7dOfMflqW5K9ZSZ1fRoe7Tby+eA96RyDsl+JUW5fOp9s/jyz5Yd1h6PG7d/5iwK8/X1IJu95+0ns+iZtYypLKZuwx7a2o9+IaustIDJE8tCO39XIsHO9fV0trXT3tKCd3VRUDKKln0NFFVUMLp6Cns3byaem0tF1STdF5kGacgvJwKL3b0ZwMz+BLwL+EaqseqvTRZ4/5/+H7971y207W3kjH+5nspZNUw440Tiebpqlc3MjBnTJx58nZeXw/r6HSQSXX1+pq01vCtX7s7zL+6kvf3Q+Rr3dxx8vuSlQ8XR2vWNFBbGOOv0cRQW6M9GGIJEsRA4MF9mKrBwy28eJdWCpB8fAX6Zxv4lS9x2w8ms39bEI89t5vy54/joVcdz3KRRTJ88sCmkkrlOmD6WE6aPBWDTln389vevsXV7Y5/H72toJZHoIh4PZ8LMjnXr2V2/8bC21obk+dv2N7F30ya8K7l85LbVrzPxpFmUT9Q9K2FJU35ZBnzNzEYDLcBbgFB2oNW3iixQXjOJv3nh51GHIWlWPWUMkydVsr5+Oxs27jq4zO8BZsb48eFduXLnsEKkPy0tXTy3ZAcXnTex/4NlIBZwKFEcUBS0p6UYMbPPA53AnenoX7JLLGb89Jazow5D0mzyxDL+4SNns3rtDh56bCV79h65kuPc2RNDK0QAEu0dR33/QCFywJbXVpJbkE9xhW5nC0no+cXdV5jZvwOPAk3AS0Aoc8dVjIhkkHg8xvRpE5g4oYK6+h3s3NUIGNVVlUyYUEF+iKNhsZgxa0YZK9fsG/BnWloTJLqceExD6iGoHmR7SszsQ8BVwCXuPUtdERnuTpg+luOmjub5F+pZ/MIGmpraqa4q57ILZjBhfLijYWOOm0rD9h1418AveLU1NasYCU9a8ou7/wT4CYCZLQA2Hv0TA6NiRCQDFRXmc+LMqrSf57ipJayvb6S1bWAJo6AgrkIkPPUkh857aw+VmV0JfAa44MB8XxEZeXJyYpwzv4Zz5tek9Tx5hYVUTJnM7roNA/5MYZmmB4YoLfnFzMa5+3YzqyZ5v8hZqfR3gFbTEhnhTpg+8KlfkyccfTlQGZRbgZ6FQXPQfszM7G7gWWCmmW00sxuB7wElwGNm9pKZ/SCVc4iI9KdyymRy8o/cniAWP3J1r7zCQvKLiocirJEiLfkF+LWZvQb8L/CP7r43xf4AjYyIjHhVk4oZXZmPYazfsJ+Nm5sYXZnPuDEFbNvRyrgxBRQWxOlyGDu6IOpwh42J77j8ri2/eRTCX03r2l6af5JKnyIig5Wbn8/0s+bT0dZGZ3s7W15bhcVijJtxHA3bthPPyaV88kTam5spqignFuI9KyNdGvPLm0II7wiWjqnDtbW1vmRJKDfYi4hkNTNb6u61UccxXCi/iIgMr9yiMlRERERERCKhYkRERERERCKhYkRERERERCKhYkRERERERCKhYkRERERERCKhYkREZBgxs9vNbLuZLevW9hUzeyXYY+RRM5sUZYwiIpJ9+sgvlWb2mJmtCR4rBtuvihERkeHlDuDKHm3fdPdT3H0e8CDwhSGPSkREst0dHJlfbgGecPcZwBPB60HRpociIhGp+9fvXkePTammfvXjqW5K9ZSZ1fRoa+j2shgIf4MpERHJGEOVX4CrgQuD5z8DngQ+O5h+NTIiIhKBIFEsBKYCFjwuDNpDZ2ZfM7MNwAfQyIiIyLA1xPllvLtvCZ5vBcYPtgMVIyIi0VgAFPVoKwraQ+fun3f3KcCdwD+l4xwiIpIRhjS/HODuzjGMvKsYERGJRvUg28NyJ/DuNJ9DRESiM5T5ZZuZTQQIHrcPtgMVIyIi0agfZPsxM7MZ3V5eDawM+xwiIpIxhiy/AL8Dbgie3wD8drAdqBgREYnGrUBzj7bmoP2YmdndwLPATDPbaGY3Al83s2Vm9gpwOfCJVM4hIiIZbUjzC3CZma0BLg1eD67f5PSucNXW1vqSJUtC71dEJNuY2VJ3r+3tvXSsdjLcKb+IiBw9t0B25RcVIyIiadRfwpDBUX4RERleuUXTtEREREREJBIqRkREREREJBLagV0i0dnWTsOGTax74hkat2yjeNwYTvnAuygoK406NBERyWIdDftprttEy4bNWCxG6ZyZFFZNiDosEemDihEZcu37m1j8Xz+hbV/jwbaG+k2suP9hTv3wNRFGJiIi2Wzvi8tpqdt08LUDe5e+St7YSuL5edEFJiJ9UjEiadeVSFD31HO0NzbRvHM3e+s2kmhrO+K4XavWsugL32Di6XOZ+bbLsZhFEG3fmus3k2hqpqimipYNm2lat4G80RWUnTabts3bcXcKp0zELLPiFhEZrlq37aRt63bcYrRt2U5XS+uRB7mz/fdPklNRRkXtyeQU99yYOlrrNrXz9EstnDw9n9LiGP/3zt2YwaevryTRBavWtzN/TgHjKvSVTYYn/Zctabf+yb+w7rGnBnRsor2Djc8uofL4GsbNnpnmyAams6mZPYtforNhPwDNm7bStT+5fHfrpq0k2trp2Lk7eey+BkpPnhVZrCIiI0VnUzN7nnsRBrgqaOeefex78TVGn5cZCxC5Oz+8fy8PPdNEl8O9jzVSPTFO/dYEAN+/bw+r6jro6oJfPR7nR58fT0GebvWV4UfFSIgSiS52NbTT0tbJ337zeXY1tPHdj9dyzsljow4tUu2NTYP+TGfrkSMnUWlctvpgIQIcLEQOOFCIAHTsbUREJGwdzS3EcnNZ9/hT7Fz5OuNmz2T65RdEHVakuto7BlyIHPpMe5qiGbzFy1v536cP5UcH6rYkDr5e+UYHB367XfsSNOzvoqBSxYgMPypGQrK/uYOLb36Cpat3k5sTo6OzC4CLbn6c5394JT97ZB15uTE+/8E5lBTlRhzt0Jp0xlw2Ln7hyKQRM+g6MpHEcnMZNyczRhe8M0FiEIVR0XFT0hiNiIxEbyz6M2v/8CQWi+FdydzyxrYdEIuRX1JMw8YtTJ4/j7IpkyOOdGjlVZQRKyqkq7llwJ8pPr4mfQENUv2WjqO+3z07zpyax7hKfWWT4Un/ZYdgx95W3vKZRbyweg/AwUIEoDPhXPXZRWzelZzH2tjcyX9/8oxI4oxKe+P+3q9e9VKIAMy55mpyMuRGwz1/fZmOPfsGdrAZsbyRVWiKSHqte/xp1j3xNMDBQuSA9U/+Ge9MXknf/upKzv/XTxDLGVlpvWsQF4vyJ4ylqHpSGqMZuKdfbOZnDzUM+PjZx+XR3uHk5eqeRBl+NN4Xgm/eveJgIdKbA4UIwMLfrWH6Nb+lftvgpy5lq7LqKmK5A0uQp1z/noy5VwSgfffegR/szu4/L6Vl09b0BSQiI8b+rdtZ9/hTfU5FOlCIAHS2tvLkl/6DDX/561CFlxHyxlYO6Lj8SeOpOOOUNEczcGs2DG662P2L9vN/7tiVpmhEoqViJAQVJUdexa+ZUNzrsQmH9VubuOqWJ9McVebILSrk3M9+jGkXn0deyajeD4rFOOGqyxg3J3MKEYDcivJBf6Zj9wBHUkREjiKenw89VufLKSzo8/iujg5W/e9jtDWMnHvXRp99GmWnnnTUoiRvTAUVp83B4vEhjOzoak/s+99jX1auz5z7XUTCNLLGc9Pkn98/iy/85OXDZh3t2tfL8oLd7G4YWX9U8kcVMf3yC6g+bz671qwDdzY9/xLNO3cx/fILmVQ7N+oQe5VbVkL79p0DPt5ycymcMjGNEYnISFFYUUbl8TXsXvPGwbZER+fRP+RO694G8ktL0hxd5iiaWkXR1Craduwm0dxCZ2MTLRu3kFdZTnntyVgs8667TpmQi3H4fSGQrD17DoTFY5Dogref38fFPJEsp2IkBHm5cT705uO4/eF1B9saWxJ9Hh8z+MbfnzoUoWWc3KJCJsydDcCEeXMijqZ/8ZLe16MvrJ5EZ1MLHbsOTc/LnzCOijNOzqirbyKS3Y6/8iKef339wW+o3nn0YmTMrOMprRqZF0Tyu42OlM45IcJI+ldREicWFBndzTshn5jB+s0d7GpIvhmLwY//dTzjKnVPogxPmXe5IEu97dyqAR97ywdO4rpLa9IXjISnZ6Ywo3TuLMpPm0P5abOJFxcees+7VIiISKhKJ08kJz9/QMfmjipi3ofen5EjAXK4js4j7wOqPbGA224cwxduGsP8OYXdjoV87S8iw5hGRkLy1rMmccOVx3Hfk3U0tR4+KnL85FGMLS+gqCDO3OkV3PrBzB8RkKSOnnOv3elsamHv0mW0bN4GieS/6/ioIkpOmhFBhCIy3J347rew+n8fpa3bfkeQHGkuqCgjt7CQnIJ8pl1yXkQRymDVb+04YopWY3MXdz6yjxdXtbJuU3IEbFSh8b7LSikbpQtdMnypGAlJPB7j9lvO4ns31/Kd+1bxl1d38Odl25l7fCUPfPV8ynu5yV0y254lr9C6scfKWLEYza/XHXFs0dTJdLWNrPuARGRojD/5RMaffCLbl69ix4o17Hn9DboSCWa/9+2MPuG4qMOTQVr2eiuf+/5OeqzUzNZdHayqOzyPnHhcHuMq4uxv7mJUkUZHZHhSMRKyooIcPnf97KjDkBR1NjYdWYgAR2SPQOPyNQCUzJ7BqBnT0hmaiIxQ42bPzKilz+XYfP/Xe3tNJfv2Hzl1a8lrbfx1eRs1E3P57r+MIx7TPiMy/KjMFglR+86+95sREREpzB/4V68DK2ut39LB/ubeL4aJZDsVIyK9yCkppnTuiVjO4ObpFk2dnKaIRERkOLj52gqmThjcxJTz5hXqvhEZtjRNS6QPxdOmUFQ9iY59jex6/mVobev74JhRfsZcCiaOG7oARUQk60wZn8v3b5nA+s0d/OG5Rn73VHOvxx3YX+Ti2kI+9YGB7TQvko1UjIgchcXj5FWWUzC6gtZNvdxDApSdOpv88WOIFwxs+U0REZGaSblcOn9Un8XIefMKed9lpdRM1P4iMrxpmpbIAJTOnoHFg/9dzMgdXY7l5FBYNZHC6kkqREREZNCmV+Ux74RD+WPm1FzKRsWoGpfDtVeoEJGRQSMjIgMQLypk9AVn0b5zN/njxpAzqved2UVERAbjto+O5smlzVSWxpk/u7D/D4gMMypGRAYot3QUuaWjog5DRESGkYK8GFeerdwiI5emaYmIiIiISCRUjIiIiIiISCRUjIiIiIiISCRUjIiIiIiISCRUjIiIiIiISCRUjIiIiIiISCRUjIiIiIiISCTM3cPv1GwHUBd6xyIi2Wequ4+NOojhQvlFRAQYRrklLcWIiIiIiIhIfzRNS0REREREIqFiREREREREIqFiRDKSmdWY2bIebf9mZp82szvMrNnMSrq9920zczMb063tHUHbrB79tpjZS2b2mpn9wMxiwXuPmNleM3twKH5HEREZesovIplFxYhkq9eBqwGCP/YXA5t6HHMt8Ezw2N1ad58HnAKcBLwjaP8m8MF0BSwiIllB+UVkCKkYkWx1D/D+4PmFwJ+BzgNvmtko4DzgRuCa3jpw907gL8DxwesngMa0RSwiItlA+UVkCKkYkWy1GhhrZhUkr0zd0+P9q4FH3H01sMvMTu/ZgZkVAZcAr6Y7WBERyRrKLyJDSMWIZKq+1pzu3n4/yatSZwJP9ziuewK5h8OH0qeb2Uskr3Y95O6/Tz1cERHJEsovIhkkJ+oARPqwC6jo0VYJvNHt9S+BpcDP3L3LzAAws0qSc3xPNjMH4oCb2b8Enzswp1dEREYe5ReRDKKREclI7r4f2GJmF8PBBHAlyRsGDxxTB3we+H6Pj78H+B93n+ruNe4+hWSSedOQBC8iIhlL+UUks6gYkUz2N8BtwZD3H4Evufva7ge4+w97tpEcMn+gR9uvOXLVk8OY2dPAvcAlZrbRzK5IKXoREclUyi8iGcLc+5o6KSIiIiIikj4aGRERERERkUioGBERERERkUioGBERERERkUioGBERERERkUioGBERERERkUioGBERERERkUioGBERERERkUioGBERERERkUj8fxCtzC/5JPyLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize only unannotated dataset\n",
    "pollen_mars = adata_mars[adata_mars.obs['experiment'] == 'pollen',:]\n",
    "sc.pp.neighbors(pollen_mars, n_neighbors=30, use_rep='X')\n",
    "sc.tl.umap(pollen_mars)\n",
    "sc.pl.umap(pollen_mars, color=['ground_truth','MARS_labels'],size=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualize annotated and unannotated datasets jointly\n",
    "sc.pp.neighbors(adata_mars, n_neighbors=30, use_rep='X')\n",
    "sc.tl.umap(adata_mars)\n",
    "sc.pl.umap(adata_mars, color=['experiment','ground_truth'], size=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use Pollen dataset as annotated, and Kolodziejczyk as unannotated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== Dataset: Found 249 items \n",
      "== Dataset: Found 11 classes\n",
      "== Dataset: Found 704 items \n",
      "== Dataset: Found 3 classes\n"
     ]
    }
   ],
   "source": [
    "annotated = ExperimentDataset(pollen.X.toarray(), pollen.obs_names, pollen.var_names, 'pollen', y_pollen)\n",
    "unannnotated = ExperimentDataset(kolod.X.toarray(), kolod.obs_names, kolod.var_names, 'kolod', y_kolod)\n",
    "pretrain_data = ExperimentDataset(kolod.X.toarray(), kolod.obs_names, kolod.var_names, 'kolod')\n",
    "n_clusters = len(np.unique(unannnotated.y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run MARS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "mars = MARS(n_clusters, params, [annotated], unannnotated, pretrain_data, hid_dim_1=1000, hid_dim_2=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pretraining..\n",
      "\n",
      "=== Epoch: 30 ===\n",
      "Train acc: 0.9959839582443237\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "... storing 'MARS_labels' as categorical\n"
     ]
    }
   ],
   "source": [
    "# return both annotated and unannotated datasets with save_all_embeddings\n",
    "adata, landmarks, scores = mars.train(evaluation_mode=True, save_all_embeddings=True) # evaluation mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'accuracy': 0.9659090909090909,\n",
       " 'adj_mi': 0.8908128290672772,\n",
       " 'adj_rand': 0.9079056032181991,\n",
       " 'f1_score': 0.9624739115161284,\n",
       " 'nmi': 0.8982423423300416,\n",
       " 'precision': 0.9562841530054644,\n",
       " 'recall': 0.9728813559322034}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create anndata object using MARS embeddings as X\n",
    "adata_mars = AnnData(adata.obsm['MARS_embedding'])\n",
    "adata_mars.obs['MARS_labels'] = pd.Categorical(adata.obs['MARS_labels'])\n",
    "adata_mars.obs['ground_truth'] = pd.Categorical(adata.obs['truth_labels'])\n",
    "adata_mars.obs['experiment'] = pd.Categorical(adata.obs['experiment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize only unannotated dataset\n",
    "kolod_mars = adata_mars[adata_mars.obs['experiment'] == 'kolod',:]\n",
    "sc.pp.neighbors(kolod_mars, n_neighbors=30, use_rep='X')\n",
    "sc.tl.umap(kolod_mars)\n",
    "sc.pl.umap(kolod_mars, color=['ground_truth','MARS_labels'],size=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1978.56x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualize annotated and unannotated datasets jointly\n",
    "sc.pp.neighbors(adata_mars, n_neighbors=30, use_rep='X')\n",
    "sc.tl.umap(adata_mars)\n",
    "sc.pl.umap(adata_mars, color=['experiment','ground_truth'], size=50)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3 (rnaenv)",
   "language": "python",
   "name": "rnaenv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
